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Title
An Interior-Point Algorithm for Linear Optimization Based on a New Kernel Function.
Authors
Amini, K.; Peyghami, M. R.
Abstract
A new proximity function based on the Interior-Point Methods (IPMs) is proposed for Linear Optimization (LO). This new function has some properties that axe easy for checking. These simple but interesting properties lead us to improve the iteration bound of large-update methods to O(q√n(log n)1+1/q log n/ε), for q ≥ 1.
Publication
Southeast Asian Bulletin of Mathematics, 2005, Vol 29, Issue 4, p651